An open-source Python package for simple loading of Landsat imagery as NumPy arrays.
When downloading Landsat imagery from USGS Earth Explorer, the datasets contain
many bands (
.tif files) and a few metadata files (
espatools is built to parse the
.xml metadata file to read all of the bands
for that dataset and provide a convenient and intuitive means of accessing that
metadata along side the raw data in a Python environment.
espatools can be found on GitHub and PyPI.
- The package heavily uses properties for the creation of strongly typed objects in a consistent, declarative way.
- PVGeo has implemented an interface for
espatoolsto read Landsat imagery via XML metadata files. Check out PVGeo's Landsat Reader for more details.
espatools is available from PyPI
$ pip install espatools
We think espatools is easy to use; give it a try and let us know what you think as this is just the alpha-release!
- First, take a look at this example for PVGeo where
espatoolshas an interface for direct use in ParaView.
- Then checkout this Jupyter Notebook for a demonstration of some simple plotting after reading Landsat imagery in a Python environment.
Example False Color
import espatools import matplotlib.pyplot as plt # Create the reader to manage I/O reader = espatools.RasterSetReader(filename='metadata.xml') # Perform the read and yield a raster set raster = reader.Read() # Get an RGB color scheme color = raster.GetRGB('false_a') # Now plot the false color image plt.imshow(color)
The results of the above code yield the following false color image: